Model-Based Parameter Estimation in Computational Electromagnetics.

Format:

Book

Author/Creator:

Miller, Edmund K.

Series:

Electromagnetic Waves Series

Language:

English

Physical Description:

1 online resource (0 pages)

Edition:

1st ed.

Place of Publication:

Stevenage : Institution of Engineering & Technology, 2026.

Summary:

Computational electromagnetics models the interaction of electromagnetic fields with physical objects and their environment. This book seeks to construct a model, typically based on solutions to Maxwell's equations, and then use optimization to minimise the discrepancy between modelled and observed data.

Contents:

Intro

Contents

Preface

About the author

1. System identification and model-based parameter estimation

2. A brief sampling of system identification and model-based parameter estimation applications in various disciplines

3. Mathematical background of MBPE

4. Sampling strategies for effective implementation of Prony's method

5. Conserving waveform information content in the spectral domain using Prony's method

6. Minimizing the number of frequency samples needed to represent a transfer function using adaptive sampling

7. Using Prony's method to design arrays that produce the patterns of continuous source distributions and prescribed radiation patterns

8. Designing discrete arrays using Prony's method to synthesize exponentiated radiation patterns

9. Using adaptive estimation to minimize the number of samples needed to develop a radiation or scattering pattern to a specified uncertainty

10. Modeling dipole arrays that produce synthesized patterns using NEC

11. Using model-based parameter estimation to assess the accuracy of numerical models

12. Using Prony's method to develop pole-based models of linear sources

13. Inversion of one-dimensional scattering data using Prony's method

14. Derivative sampling of computational data

Appendix A: Further examination of poles in the spectral and time domains

Appendix B: Symbols and notation

Appendix C: A sampling of representative MBPE and related references in various disciplines

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-83724-539-8

1-83724-538-X

OCLC:

1581079868